LEADER 06397nam 22007335 450 001 9910878055103321 005 20250509114729.0 010 $a981-9754-95-X 024 7 $a10.1007/978-981-97-5495-3 035 $a(MiAaPQ)EBC31569687 035 $a(Au-PeEL)EBL31569687 035 $a(CKB)33428344400041 035 $a(DE-He213)978-981-97-5495-3 035 $a(EXLCZ)9933428344400041 100 $a20240725d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aKnowledge Science, Engineering and Management $e17th International Conference, KSEM 2024, Birmingham, UK, August 16?18, 2024, Proceedings, Part II /$fedited by Cungeng Cao, Huajun Chen, Liang Zhao, Junaid Arshad, Taufiq Asyhari, Yonghao Wang 205 $a1st ed. 2024. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024. 215 $a1 online resource (477 pages) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v14885 311 08$a981-9754-94-1 327 $a -- Knowledge Engineering Research and Applications (KERA). -- Research on Node Cluster Analysis in Brain Connection Data. -- A New Emotion Classification Method Based on JAN-VMD. -- Neuro-Genetic System: A Hybrid System of CNN-BiLSTM Optimized by Genetic Algorithm for Road Accident Severity Prediction. -- MoveFormer: Spatial Graph Periodic Injection Network for Next POI Recommendation. -- Bio-Inspired Feature Selection via An Improved Binary Golden Jackal Optimization Algorithm. -- Dynamic Reliability-optimised and Energy-efficient Scheduling Algorithms in Heterogeneous Multi-core Systems. -- A Human-Computer Negotiation Model Based on Sentiment Analysis and Big Data. -- A novel online sequential learning algorithm for ELM based on optimal control. -- DICES: Diffusion-Based Contrastive Learning with Knowledge Graphs for Recommendation. -- Variational Loss of Random Sampling for Searching Cluster Number. -- DVDNER: Dual-view Learning Named Entity Recognition via Diffusion. -- Achieving Universal Fairness in Machine Learning: A Multi-objective Optimization Perspective. -- SSNF: Optimizing Entity Alignment with a Novel Structural and Semantic Neighbor Filtering. -- Visual Analytics of Learning Behavior Based on the Dendritic Neuron Model. -- Feature Matching Based Heterogeneous Transfer Learn-ing for Student Performance Prediction. -- Weighted Multiple Source-Free Domain Adaptation Ensemble Network in Intelligent Machinery Fault Diagnosis. -- Logarithm of Maximum Posterior Evidence: Advanced Model Selection for Text Classification. -- A Hybrid Method Combing Reinforcement Learning and Heuristics in Solving Two-Echelon Vehicle Routing Problem with Backhauls. -- AgriBERT: A Joint Entity Relation Extraction Model Based on Agricultural Text. -- Research on Key Node Cluster Identification Algorithm based on Louvain and Cycle Ratio. -- Uncertain $k$ center Clustering, Revisited: Point Assignment. -- DPSPC: A Density Peak-based Statistical Parallel Clustering Algorithm for Big Data. -- Insert Commonsense Knowledge through Semantics for Dialogue Generation. -- Entity Set Expansion based on Category Prompts in MOOCs. -- ViT Hybrid Channel Fit Pruning Algorithm for Co-Optimization of Hardware and Software for Edge Device. -- Collaborative Adversarial Learning for Unsupervised Federated Domain Adaptation. -- Improving Image Captioning with Image Concepts of Words. -- M HGN: Multi information Enhanced Heterogeneous Graph Network for Multi-party Dialogue Reading Comprehension. -- A Student Performance Prediction Model Based on Feature Factor Transfer. -- A Binary Multi-objective Grey Wolf Optimization for Feature Selection. -- CS Net: A Coarse-to-fine-grained Summarization Network for Community-based Question Answering Summarization. -- AutoIE: An Automated Framework for Information Extraction from Scientific Literature. -- Adaptive Density Peak Clustering with Optimized Border-peeling. -- Efficient Affinity Propagation Clustering Based on Szemer´edi?s Regularity Lemma. 330 $aThe five-volume set LNCS 14884, 14885, 14886, 14887 & 14888 constitutes the refereed deadline proceedings of the 17th International Conference on Knowledge Science, Engineering and Management, KSEM 2024, held in Birmingham, UK, during August 16?18, 2024. The 160 full papers presented in these proceedings were carefully reviewed and selected from 495 submissions. The papers are organized in the following topical sections: Volume I: Knowledge Science with Learning and AI (KSLA) Volume II: Knowledge Engineering Research and Applications (KERA) Volume III: Knowledge Management with Optimization and Security (KMOS) Volume IV: Emerging Technology Volume V: Special Tracks. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v14885 606 $aArtificial intelligence 606 $aComputer engineering 606 $aComputer networks 606 $aComputers 606 $aInformation technology$xManagement 606 $aSocial sciences$xData processing 606 $aApplication software 606 $aArtificial Intelligence 606 $aComputer Engineering and Networks 606 $aComputing Milieux 606 $aComputer Application in Administrative Data Processing 606 $aComputer Application in Social and Behavioral Sciences 606 $aComputer and Information Systems Applications 615 0$aArtificial intelligence. 615 0$aComputer engineering. 615 0$aComputer networks. 615 0$aComputers. 615 0$aInformation technology$xManagement. 615 0$aSocial sciences$xData processing. 615 0$aApplication software. 615 14$aArtificial Intelligence. 615 24$aComputer Engineering and Networks. 615 24$aComputing Milieux. 615 24$aComputer Application in Administrative Data Processing. 615 24$aComputer Application in Social and Behavioral Sciences. 615 24$aComputer and Information Systems Applications. 676 $a658.403 700 $aCao$b Cungeng$01753331 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910878055103321 996 $aKnowledge Science, Engineering and Management$94251766 997 $aUNINA